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1st September 2025 Languages English Norsk Bokmål English English We are looking for PhD Candidate in Human-AI interaction in teaching and learning Apply for this job See advertisement This is NTNU
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and written) in English Proficient in Microsoft Office Software (Microsoft Word, Excel, PowerPoint) Hardworking, proactive, willing to learn new things Ability to work both independently and as part of
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to apply for this position. A Curriculum Vitae, including a list of all courses attended and grades obtained, and, if applicable, a list of publications and references. An IELTS-test, Internet TOEFL test
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learning. Supervisor: Prof. Udo Bach, Department of Chemical and Biological Engineering. (Email: udo.bach@monash.edu ) Manipulating light at the nanoscale Supervisor: Dr Alison Funston, School of Chemistry
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Applicants should hold a relevant MSc degree in electronics, electrical engineering, computer engineering, or related fields. Required Qualification: Solid background in digital CMOS design and deep learning
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One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour
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of digitalisation and energy renovation. You will learn to conduct research independently and grow scientifically through collaboration and supervision by researchers from Saxion and Hanze Universities
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the domain of digitalisation and energy renovation. You will learn to conduct research independently and grow scientifically through collaboration and supervision by researchers from Saxion and Hanze
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background in CMOS/VLSI design, computer architectures (preferred RISC-V architecture), and deep learning principles. Experience with industry-standard EDA tools such as Cadence suite: Genus, Virtuoso, Spectre
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; innovations in teaching and learning; assessment and program evaluation; decision-making and clinical reasoning; and anti-oppression, diversity, equity, and inclusion. Applicants must hold a doctorate degree